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About

Yichao Shen is a leading researcher in the field of intelligent robotics, with a focus on force control, collision detection, and dynamic modeling for industrial applications. His work centers on enabling safer and more efficient human-robot collaboration through sensorless, model-based approaches. Shen’s key contributions include the development of a fuzzy-based impedance control system that significantly improves force tracking in unknown environments—a paper that has garnered 25 citations for its practical impact. He also pioneered a convolution neural network-based semi-parametric dynamic model for industrial robots, which overcomes the limitations of traditional friction models and enhances performance in control and motion planning. Additionally, Shen has advanced external force estimation techniques using configuration optimization, achieving 8 citations for its applications in human-robot interaction and machining. His sensorless collision detection method, based on fuzzy logics, demonstrates a notable achievement in reducing system complexity and cost without sacrificing safety. With a growing citation record and a focus on real-world robotic challenges, Shen’s work is shaping the future of adaptive, intelligent automation.